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SageMaker

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May 1, 2024 Updated June 22, 2025 22 minute read
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Amazon SageMaker: Your Comprehensive Guide to Cloud-Based Machine Learning

Amazon SageMaker is a fully managed service from Amazon Web Services (AWS) designed to simplify the process of building, training, and deploying machine learning (ML) models at scale. It provides a comprehensive suite of tools and an integrated development environment (IDE) that supports the entire ML lifecycle, from data preparation and model building to training, tuning, deployment, and monitoring. For individuals and organizations looking to leverage the power of machine learning without the heavy lifting of managing infrastructure, SageMaker offers a compelling solution.

Path to SageMaker

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We've curated eight courses to help you on your path to SageMaker. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in SageMaker.
Getting Started Guide
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Provides a comprehensive overview of Amazon SageMaker, covering the core concepts, features, and use cases of the platform. It is an excellent starting point for individuals who want to understand the basics of SageMaker and how it can be used for machine learning.
Getting Started Guide
Paperback
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Getting Started Guide
Kindle Edition
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Platform and Model Design for Responsible AI
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Provides a detailed guide to building machine learning pipelines with Amazon SageMaker. It covers everything from data preparation and feature engineering to model training and deployment. The book is written by an expert in the field and is packed with practical examples and code snippets.
Platform and Model Design for Responsible AI:...
Paperback
$$$
Platform and Model Design for Responsible AI:...
Kindle Edition
$$
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TensorFlow Machine Learning Projects
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Provides a detailed guide to building machine learning pipelines with Amazon SageMaker. It covers everything from data preparation and feature engineering to model training and deployment. The book is written by an expert in the field and is packed with practical examples and code snippets.
TensorFlow Machine Learning Projects
Paperback
$$
TensorFlow Machine Learning Projects: Build 13 real...
Kindle Edition
$$
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Smarter Data Science
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Provides an in-depth look at Amazon SageMaker, including its advanced features and use cases. It covers everything from data preparation and feature engineering to model training and deployment. The book is written by a team of experts from Neal Analytics and is packed with practical examples and code snippets.
Smarter Data Science: Succeeding with Enterprise...
Kindle Edition
$$
Relevant careers
Machine Learning Engineer
Data Scientist
Software Developer
Cloud Engineer
Data Analyst
Business Intelligence Analyst
Project Manager
Data Architect
DevOps Engineer
Product Manager
Related topics
Machine Learning
Artificial Intelligence
Data Science
Cloud Computing
Data Analytics
Business Intelligence
Software Development
Data Engineering
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